Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological
Administration, Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters, School of Atmospheric Physics, Nanjing
University of Information Science and Technology, Nanjing 210044, China
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts 02138, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts 02138, USA
Key Laboratory for Atmospheric Chemistry, Chinese Academy of
Meteorological Sciences, CMA, Beijing 100081, China
Tianliang Zhao
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological
Administration, Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters, School of Atmospheric Physics, Nanjing
University of Information Science and Technology, Nanjing 210044, China
Hong Liao
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Science and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Viewed
Total article views: 17,118 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
12,688
4,293
137
17,118
792
190
396
HTML: 12,688
PDF: 4,293
XML: 137
Total: 17,118
Supplement: 792
BibTeX: 190
EndNote: 396
Views and downloads (calculated since 08 May 2019)
Cumulative views and downloads
(calculated since 08 May 2019)
Total article views: 15,446 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
11,966
3,362
118
15,446
612
171
365
HTML: 11,966
PDF: 3,362
XML: 118
Total: 15,446
Supplement: 612
BibTeX: 171
EndNote: 365
Views and downloads (calculated since 29 Aug 2019)
Cumulative views and downloads
(calculated since 29 Aug 2019)
Total article views: 1,672 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
722
931
19
1,672
180
19
31
HTML: 722
PDF: 931
XML: 19
Total: 1,672
Supplement: 180
BibTeX: 19
EndNote: 31
Views and downloads (calculated since 08 May 2019)
Cumulative views and downloads
(calculated since 08 May 2019)
Viewed (geographical distribution)
Total article views: 17,118 (including HTML, PDF, and XML)
Thereof 16,734 with geography defined
and 384 with unknown origin.
Total article views: 15,446 (including HTML, PDF, and XML)
Thereof 15,248 with geography defined
and 198 with unknown origin.
Total article views: 1,672 (including HTML, PDF, and XML)
Thereof 1,486 with geography defined
and 186 with unknown origin.
Observed annual mean PM2.5 decreased by 30–50 % in China from 2013–2018. However, meteorologically PM2.5 variability complicates trend attribution. We used a stepwise multiple linear regression model to quantitatively separate contributions from anthropogenic emissions and meteorology. Results show that 88 % of the PM2.5 decrease across China is attributable to anthropogenic emission changes, and 12 % is attributable to meteorology.
Observed annual mean PM2.5 decreased by 30–50 % in China from 2013–2018. However,...